Data set for anomaly detection on a HPC system

This data set contains the data collected on the DAVIDE HPC system (CINECA & E4 & University of Bologna, Bologna, Italy) in the period March-May 2018. The data set has been used to train a autoencoder-based model to automatically detect anomalies in a semi-supervised fashion, on a real HPC system. This work is described in: 1) "Anomaly Detection using Autoencoders in High Performance Computing Systems", Andrea Borghesi, Andrea Bartolini, Michele Lombardi, Michela Milano, Luca Benini, IAAI19 (proceedings in process) -- https://arxiv.org/abs/1902.08447 2) "Online Anomaly Detection in HPC Systems", Andrea Borghesi, Antonio Libri, Luca Benini, Andrea Bartolini, AICAS19 (proceedings in process) -- https://arxiv.org/abs/1811.05269 See the git repository for usage examples & details --> https://github.com/AndreaBorghesi/anomaly_detection_HP